Data Scientist – Document Digitization
Company Name:-
Standard Chartered
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Job: Technology
Primary Location: Asia-India-Bangalore
Schedule: Full-time
Employee Status: Permanent
Posting Date: 24/Jun/2021, 12:42:31 PM
Unposting Date: Ongoing
About Standard Chartered
We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.
To us, good performance is about much more than turning a profit.
It’s about showing how you embody our valued behaviours – do the right thing, better together and never settle – as well as our brand promise, Here for good.
We’re committed to promoting equality in the workplace and creating an inclusive and flexible culture – one where everyone can realise their full potential and make a positive contribution to our organisation.
This in turn helps us to provide better support to our broad client base.
The Role Responsibilities
Standard Chartered Application Reference Framework (SCARF) drives open source culture with in SCB to enable rapid application development leveraging cloud native technologies, delivering an ecosystem of enterprise connectors and reference data services.
It is an enabler for our developers within the Bank to leverage on existing work and to go out to market with application-based solutions much more quickly.
We are looking for Data Scientist for SCARF who can lead the deliverables for Document Digitization journey.
Your primary focus will be to guide team in improving the accuracy and build AI/ML models based on best available options.
You should also provide guidance to teams to easily adopt the frameworks.
Minimum Qualifications
Bachelors in one of the following – computer science, mathematics, statistics.
3+ years of relevant experience.
Experience in developing highly scalable data infrastructure and distributed systems and enterprise software systems using Java/Python/Go ecosystem.
Expertise applying machine / deep learning techniques on large structure & unstructured datasets to solve business problems.
Key Responsibilities
Design & implementation of ML / DL solutions for production.
Keeping track of industry developments, conducting R&D to incorporate best in class practices and methodologies and sharing the same with team and stakeholders.
Key Expertise
Proficient in on
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